兰州老师榜导航 【七里河】 多多/7p 琪琪/8p 韩小姐/10p 樱桃/6p 可可/6p 坦克妹/5p 白雪/6p 软糖/5p 冰儿/8p 媚娘/5p 暖宝/7p 小雅/6p 昕昕/5p 桃桃/5p 苹果/6p 刺玫 【城关】 叁叁/10p 泡芙/12p 雨潼/12p 可儿/13p 二妞/8p 软娇甜/6p 【上门】 张大温柔 【会所】 友群: 西安榜

Channel
🅥兰州老师🅥
@zz1car
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,875subscribers
+2,009 since we began measuring on 27 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003658033086 |
|---|---|
| Type | Channel |
| Username | @zz1car |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/zz1car |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 50% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 08:55 | 13,875 | -185 |
| 16 Sept 2026, 20:17 | 14,060 | -215 |
| 14 Sept 2026, 20:58 | 14,275 | -79 |
| 13 Sept 2026, 04:59 | 14,354 | -211 |
| 11 Sept 2026, 08:55 | 14,565 | -271 |
| 8 Sept 2026, 11:36 | 14,836 | +3,769 |
| 5 Sept 2026, 03:00 | 11,067 | -165 |
| 3 Sept 2026, 06:48 | 11,232 | -143 |
| 2 Sept 2026, 00:44 | 11,375 | -51 |
| 1 Sept 2026, 00:37 | 11,426 | -41 |
| 31 Aug 2026, 00:44 | 11,467 | -137 |
| 29 Aug 2026, 21:54 | 11,604 | -113 |
| 28 Aug 2026, 22:48 | 11,717 | -149 |
| 27 Aug 2026, 23:00 | 11,866 | no change |
| 27 Aug 2026, 22:47 | 11,866 | first reading |
Engagement
14 posts held, back to 21 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.56%
- avg views ÷ 13,875 subscribers
- Avg views / post
- 355
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 14 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 14 (21 July 2026 – 2 September 2026) |
| Views total | 1,065 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 00:45 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 7s
- Average length
- 7s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
632 reactions across 7 posts, in 11 distinct kinds. The most used accounts for 24.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 155 | 24.5% | |
| 👍 | 103 | 16.3% | |
| 🎉 | 96 | 15.2% | |
| 🥰 | 85 | 13.4% | |
| 🤩 | 84 | 13.3% | |
| 🔥 | 39 | 6.17% | |
| 😍 | 38 | 6.01% | |
| 💯 | 28 | 4.43% | |
| 😱 | 2 | 0.316% | |
| 👏 | 1 | 0.158% | |
| 😁 | 1 | 0.158% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 14 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 632 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 21 July 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
兰州老师榜导航 【七里河】 多多/7p 琪琪/8p 韩小姐/10p 樱桃/6p 可可/6p 坦克妹/5p 白雪/6p 软糖/5p 冰儿/8p 媚娘/5p 暖宝/7p 小雅/6p 昕昕/5p 桃桃/5p 苹果/6p 刺玫 【城关】 叁叁/10p 泡芙/12p 雨潼/12p 可儿/13p 二妞/8p 软娇甜/6p 【上门】 张大温柔 【会所】 友群: 西安榜
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8380725257
📱#刺玫 🌐#七里河 🛫【联系】 🥂【双向】 📱【频道】 ❤️【硬件】B/163cm/58kg/31 🫦【标签】#七里河 #御姐 #5p #9pp 🥂进群交流 @zz2car ❓上榜管理 @ma2yun 🕯报告好评 @zz3car 👀车评/查找机器人 @zz1lanbot
❤3🥰2🔥1
Photo, posted without a caption
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8380725257
新手攻略和疑问: 1. 为何一个老师几个号,之前叫依依,昨天叫可可,今天叫真真? 答:是同一个人,因为很多老号炸了,联系不上了,老师重新买了新号重新上榜了,一切以最新为准 也有的老师一人多个号,有大号小号,不奇怪 2. 我之前约过老师,现在老师明明还在线,为何半天不回复? 答: ~ 可能老师没有开课, ~ 也有可能老师不在武汉,号给她姐妹了,不用奇怪 3. 我都到楼下,等半天也不回复,是什么情况? 答: ~可能老师比较满,上一节课正在进行; ~可能老师vpn掉线了 ~可能老师被按了 ~可能老师睡过了 以上都是真实发生过好几次的事,没有老师开课了嫌课多闹着玩 如果等的时间超过一节课,过错在老师那边,可找管理员说明,老师必须报销这次车费给学生 4. 老师课表上的,好多没有做,这是什么情况? 答: ~ 如果是特殊服务,好多是要加钱的,你最好提前和老师说明 有的学生比较急,不明确说明,就急着霸王硬上,当然没时间服务了;也有可…
❤3👍1🔥1😁1
📱#张大温柔 🌐#上门 🛫【联系】@dawenrou0000 🥂【双向】 📱【频道】 t.me/dawenrou666 ❤️【硬件】D/168cm/58kg/27 🫦【标签】#上门 #御姐 #6p #11pp #大胸 🥂进群交流 @zz2car ❓上榜管理 @ma2yun 🕯报告好评 @zz3car 👀车评/查找机器人 @zz1lanbot
❤5👍1🔥1
兰州老师榜导航 【七里河】 多多/7p 琪琪/8p 韩小姐/10p 樱桃/6p 可可/6p 坦克妹/5p 白雪/6p 软糖/5p 冰儿/8p 媚娘/5p 暖宝/7p 小雅/6p 昕昕/5p 桃桃/5p 苹果/6p 【城关】 叁叁/10p 泡芙/12p 雨潼/12p 可儿/13p 二妞/8p 软娇甜/6p 【会所】 友群: 西安榜
各位学生,上完课注意拿好随身东西,事后再联系老师,就有点麻烦了 因为老师有可能在上课呀
❤1
兰州老师推出车评机器人: @zz1lanbot 可写车评、查车评、查找师、找开课老师
😍38🔥34❤31👍30💯28
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8380725257
Showing the 12 most recent of 14 posts we hold for @zz1car. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 19 September 2026 — this entry's latest reading, not the date you are reading this.
“🅥兰州老师🅥” (@zz1car), 13,875 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/zz1car.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.